Evidence map›Paper›PMID 29538770›Full record

ArticleNucleic acids research2018

Designer epigenome modifiers enable robust and sustained gene silencing in clinically relevant human cells.

Tafadzwa Mlambo, Sandra Nitsch, Markus Hildenbeutel, Marianna Romito, Maximilian Müller, Claudia Bossen, Sven Diederichs, Tatjana I Cornu, Toni Cathomen, Claudio Mussolino

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 101 citations in OpenAlex.

  1. Review
  2. Review
  3. Advances and clinical potential of epigenome editing.Cellular and molecular life sciences : CMLS · 2026
    Review
  4. Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Gene regulation technologies for gene and cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  12. Article
  13. Review
  14. Generating mRNA Encoding Anti-HBV Designer Epigenome Modifiers.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Hit-and-run epigenome editing durably lowers cholesterol in mice.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Tafadzwa MlamboInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Sandra NitschInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Markus HildenbeutelInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Marianna RomitoInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Maximilian MüllerInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Claudia BossenCenter for Chronic Immunodeficiency, Medical Center - University of Freiburg, Freiburg, Germany.
Sven DiederichsDivision of Cancer Research, Department of Thoracic Surgery, Medical Center - University of Freiburg & German Cancer Consortium (DKTK), Freiburg, Germany & Division of RNA Biology & Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Tatjana I CornuInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Toni CathomenInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
Claudio MussolinoInstitute for Transfusion Medicine and Gene Therapy, Medical Center - University of Freiburg, Freiburg, Germany.
University of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted modulation of gene expression represents a valuable approach to understand the mechanisms governing gene regulation. In a therapeutic context, it can be exploited to selectively modify the aberrant expression of a disease-causing gene or to provide the target cells with a new function. Here, we have established a novel platform for achieving precision epigenome editing using designer epigenome modifiers (DEMs). DEMs combine in a single molecule a DNA binding domain based on highly specific transcription activator-like effectors (TALEs) and several effector domains capable of inducing DNA methylation and locally altering the chromatin structure to silence target gene expression. We designed DEMs to target two human genes, CCR5 and CXCR4, with the aim of epigenetically silencing their expression in primary human T lymphocytes. We observed robust and sustained target gene silencing associated with reduced chromatin accessibility, increased promoter methylation at the target sites and undetectable changes in global gene expression. Our results demonstrate that DEMs can be successfully used to silence target gene expression in primary human cells with remarkably high specificity, paving the way for the establishment of a potential new class of therapeutics.

Indexed as

Gene SilencingCell DivisionCells, CulturedDNA MethylationHEK293 CellsHumansReceptors, CCR5T-LymphocytesTranscription Activator-Like EffectorsTranscription FactorsCCR5 protein, humanReceptors, CCR5Transcription Activator-Like EffectorsTranscription Factors

Identifiers

PMID29538770
PMCPMC5961145
OpenAlexW2789813962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.